---
title: "Zhipeng Wang — author profile and papers — Elamur Research"
description: "Zhipeng Wang, Nanjing Agricultural University: 2 papers on Elamur Research (2026), h-index 8 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/zhipeng-wang/"
---
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# Zhipeng Wang

Zhipeng Wang has 2 papers in our library, in 2026, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jindong Gu](https://md.research.elamur.ai/free/en/authors/jindong-gu/), [Qianzi Hou](https://md.research.elamur.ai/free/en/authors/qianzi-hou/), [Qizhuo Xie](https://md.research.elamur.ai/free/en/authors/qizhuo-xie/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5107878611) · [ORCID](https://orcid.org/0009-0004-4444-089X) · [**h-index 8**](https://openalex.org/authors/A5107878611) · [26 works](https://openalex.org/works?filter=author.id:A5107878611) · [285 citations](https://openalex.org/works?filter=author.id:A5107878611&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhipeng-wang/#papers) · [⭐ Paper Stars ranking: #14131](https://md.research.elamur.ai/free/en/paper-stars/page/142/#star-14131)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zhipeng+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhipeng+Wang) · [dblp](https://dblp.org/search?q=Zhipeng+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhipeng+Wang)

## Affiliations

[🎓**Nanjing Agricultural University** Nanjing · China 2024–2026 · 4 papers*current*](https://ror.org/05td3s095) · [🎓**Xidian University** Xi'an · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🏥**First Affiliated Hospital of Jiangxi Medical College** Nanchang · China 2024–2025 · 7 papers](https://ror.org/00g3pqv36) · [🎓**Nanchang University** Nanchang · China 2024–2025 · 7 papers](https://ror.org/042v6xz23) · [🏥**First Affiliated Hospital of Nanchang University** Nanchang · China 2024–2025 · 6 papers](https://ror.org/05gbwr869)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 1 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zhipeng-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations](https://md.research.elamur.ai/free/en/papers/shi-2026-coda-restoring-contextual-dominance-copy/)** *(2026)* The paper examines a specific RAG failure: the retrieved passage contains correct and sufficient evidence, yet the model still answers from its parametric memory. The authors treat this as a routing problem in the residual stream. Building on the ReDeEP decomposition, they measure two quantities per layer:
2. **[You Only Need One Single Token to Refine Safety Alignment](https://md.research.elamur.ai/free/en/papers/yu-2026-you-only-need-one-single/)** *(2026)* Safety-aligned LLMs often over-refuse: they reject prompts that look dangerous but are actually benign. Existing training-free fixes include prompting, contrastive decoding and activation steering. These add inference cost or depend on the specific architecture, and they correct outputs after the fact without…

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Jindong Gu](https://md.research.elamur.ai/free/en/authors/jindong-gu/)
- [Qianzi Hou](https://md.research.elamur.ai/free/en/authors/qianzi-hou/)
- [Qizhuo Xie](https://md.research.elamur.ai/free/en/authors/qizhuo-xie/)
- [Tao Zheng](https://md.research.elamur.ai/free/en/authors/tao-zheng/)
- [Tieke He](https://md.research.elamur.ai/free/en/authors/tieke-he/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

Updated 2 November 2026
